Data Engineer

TEKsystems; Baltimore (MD); Hybrid; USD 78,400 - 117,600; Full time

Benefits offered by this job

Medical, Dental & Vision

401(k) retirement plan

Life Insurance

Short/Long-Term Disability

Health Spending Account (HSA)

Transportation benefits

PTO / Vacation

Job summary

TEKsystems Global Services (TGS) in Baltimore seeks an Intermediate Data Engineer with strong GCP hands-on experience to build scalable data platforms. You will work on data ingestion, transformation, and orchestration pipelines using Snowflake and Matillion, applying modern data practices.

The role requires 3–5 years in data engineering, proficiency in Python/PySpark and SQL, and the ability to collaborate with architects and leads in a fast-evolving environment.

Qualifications

• Bachelor’s degree in computer science, engineering, or related field.
• 3–5 years of experience in Data Engineering.
• At least 2 years in Matillion and Snowflake.
• Strong hands-on Python / PySpark and SQL.
• Experience working with structured, semi-structured, and unstructured data.
• Experience building data ingestion, transformation, and orchestration pipelines.

Responsibilities

• Develop scalable data ingestion, transformation, and orchestration pipelines for data lake or data warehouse architectures.
• Collaborate with architects/leads to select tools/technologies and implement data management solutions.
• Ensure data management/analytics solutions meet Info-sec, QA, and governance standards.
• Implement CI/CD pipelines for data and analytics workloads.
• Adhere to project-specific operational, compliance, and governance processes.

Skills

Python / PySpark

SQL

GCP

Education

Bachelor’s degree in computer science or engineering

Tools

Snowflake

Matillion

Job description

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise.

We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.

Ready to join us?

Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:

We are seeking a highly skilled and talented Intermediate level Data Engineer with strong hands‑on proficiency in GCP to develop and maintain modern, scalable data platforms.

The ideal candidate should be a good team player with 3-5 years of experience in data engineering developing scalable and efficient ETL pipelines processing different formats of data (structured, semi‑structured and unstructured) with deep hands‑on expertise in Snowflake and Matillion and preferably some recent experience with Snowflake Cortex AI or Matillion Maia.

This role requires curiosity, ability to thrive in a fast and evolving environment, effective communication, and deep expertise in developing, and deploying scalable, and high‑performance cloud‑native data solutions, under the guidance of architects, and team leaders.

Essential Functions

• Under the guidance from architect/lead, actively involves in requirement gathering from customers, ideating, and implementing the technical solutions
• Collaborates closely with architects/leads and other stakeholders to identify the appropriate tools/technologies and implement the data management solutions
• Develop scalable data ingestion, transformation, and orchestration pipelines following modern principles and industry best practices for data lake or data warehouse / analytics solutions in an on‑prem or cloud native architecture
• Builds all data management/analytics solutions following applicable Info-sec, quality control, and governance/maintenance standard
• Complies with all internal and external (project specific) operational, compliance and governance processes.
• Implement CI/CD pipelines for data and analytics workloads
• Bachelor’s degree in computer science, Engineering, or related field.
• 3-5 years of experience in Data Engineering, with at least 2 years in Matillion and Snowflake
• Strong hands‑on expertise in Matillion
• Proficiency in Python / PySpark, and SQL.
• Experience working with different data sources (structured, semi‑structured, and unstructured)
• Curious and growth mindset, detail oriented, strong problem‑solving, and excellent verbal and written communication skills
• Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.

Preferred Qualifications

• Matillion data engineering certifications such as:
• Matillion ETL Foundations Certification
• Matillion Data Productivity Cloud Foundations Certification
• Snowflake certifications such as:
• SnowPro Advanced: Data Engineer
• Good Understanding of data modelling (Star/Snowflake) and performance tuning

Job Type & Location

This is a Permanent position based out of Baltimore, MD.

Pay and Benefits

The pay range for this position is $78400.00 - $117600.00/yr.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected classification. Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc.

• Medical, Dental, and Vision
• Critical Illness, Accident, and Hospital
• 401(k) Retirement Plan – Pre-tax and Roth post‑tax contributions available
• Life Insurance (Voluntary Life and AD&D for employee and dependents)
• Short and Long‑Term Disability
• Health Spending Account (HSA)
• Transportation Benefits
• Employee Assistance Program
• Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a hybrid position in Baltimore, MD.

Application Deadline

This position is anticipated to close on Aug 7, 2026.